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Between-item similarity frees up working memory resources through compression: A domain-general property
Benjamin Kowialiewski1, Benoît Lemaire2, Sophie Portrat2
1Department of Psychology.
Journal of Experimental Psychology. General
|June 23, 2022
Summary
Between-item similarity enhances working memory (WM) performance by enabling information compression. This compression frees up WM resources, improving recall for both similar and dissimilar items.
Area of Science:
- Cognitive Psychology
- Neuroscience
Background:
- Working memory (WM) relies on information compression.
- Compression benefits WM performance and can free up resources for other information.
- Traditional views suggest between-item similarity hinders WM performance.
Purpose of the Study:
- To investigate how between-item similarity affects working memory (WM) performance.
- To determine if between-item similarity can free up WM resources through compression.
- To examine this effect across semantic, phonological, visuospatial, and visual domains.
Main Methods:
- Four experiments were conducted across different domains (semantic, phonological, visuospatial, visual).
- Participants' recall performance was measured under conditions with varying levels of between-item similarity.
- A condition minimizing whole-list similarity was used as a baseline for comparison.
Main Results:
- Between-item similarity enhanced recall for similar items.
- Between-item similarity also improved recall for less compressible items within the same list.
- This enhancement was proactive, not retroactive, and occurred across all tested domains.
Conclusions:
- Between-item similarity can be leveraged to free up WM resources via compression.
- This compression mechanism allows for efficient reallocation of WM resources.
- The findings challenge traditional views and highlight a novel mechanism for WM enhancement.
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